{
  "schemaVersion": 2,
  "project": "Commons Collective",
  "repository": "https://github.com/Ethical-Tech-CoLab/commons-collective",
  "generatedAt": "2026-09-20T20:03:34.519578Z",
  "scope": {
    "policy": "Exact normalized working-directory match in one local session store; no all-project export.",
    "cutoffExclusive": "2026-09-20T19:50:27.262Z",
    "cutoffReason": "Start of the audit-refresh request. Includes earlier audit production and all scoped project work before this cutoff; excludes this refresh and subsequent activity.",
    "materialCommit": "6ed823c3f96a8760c0b6d4e5664326d21af5b4da",
    "machinesObserved": 1,
    "matchingSessions": 1,
    "sessionsWithIncludedUsage": 1,
    "matchingSessionsWithoutIncludedUsage": 0,
    "sessionFingerprints": [
      "0e7148858a0cbdda5f7a0349f247012a5f2e6ee37fa1b89c151509bcfad088e5"
    ],
    "firstRecordedAt": "2026-09-18T17:27:23.164Z",
    "lastRecordedAt": "2026-09-20T19:36:13.463Z",
    "excludedRowsAtOrAfterCutoff": 10,
    "otherMachinesVerified": false
  },
  "upstream": {
    "name": "Ethical Tech CoLab usage-calc",
    "repository": "https://github.com/Ethical-Tech-CoLab/usage-calc",
    "commit": "d688a913d298cec5cca722d73c328f756b3dd685",
    "version": "0.1.0",
    "functions": [
      "store.load_events(strict=True)",
      "metrics.group",
      "intervals.busy_union",
      "intervals.sitting_intervals",
      "intervals.span"
    ]
  },
  "pricing": {
    "nanoAiuPerCredit": "1000000000",
    "assumedUsdPerCredit": "0.01",
    "invoiceMeasured": false,
    "interpretation": "Recorded token charges converted using usage-calc's AI-credit assumption; a list-price equivalent, not subscription spending or an invoice."
  },
  "coverage": {
    "includedRows": 1164,
    "rowsWithTokenDetails": 1164,
    "rowsWithRecordedDuration": 1164,
    "rowsWithReasoningMetadata": 1163,
    "rowsWithNonzeroReasoningMetadata": 951,
    "rowsWithFlatTokenColumnDifferences": 1163,
    "allSelectedChargesReconciled": true
  },
  "integrity": {
    "sourceUsageRecordsSha256": "63c6abd220364694caa0349b26670c43762934bd79ddebcd7dbd00d84da64981",
    "captureAdapterSha256": "257803f032424fc7bb16ce83316a91f6e213fa5aab4ee7297367dd4c31050de0",
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    "note": "Digest commits to selected usage metadata, not prompts. It is not a provider signature or independent attestation of the private ledger."
  },
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    "busyBlocks": 858,
    "embeddedAgentCount": 24
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  "timing": {
    "timeZone": "UTC",
    "firstRequestStartedAt": "2026-09-18T17:27:17.907Z",
    "lastRequestCompletedAt": "2026-09-20T19:36:13.463Z",
    "recordedSpanMs": 180535556,
    "calendarDaysInclusive": 3,
    "datesWithRecordedUsage": 3
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  "humanTime": {
    "method": "usage-calc-sitting-residual",
    "actualHumanLaborMeasured": false,
    "defaultIdleCutoffMinutes": 10,
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    "sensitivity": [
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        "idleCutoffMinutes": 10,
        "sittingCount": 12,
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      {
        "idleCutoffMinutes": 30,
        "sittingCount": 8,
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    ],
    "interpretation": "Non-model residual within merged request sittings, using completion gaps to infer engagement. This is not measured human attention, labor, or manual-work replacement time."
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    {
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      "usdPerMillionTokensExact": "0.075",
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      "nanoAiu": "1290240000"
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    {
      "model": "gpt-5.4-mini",
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      "usdPerMillionTokensExact": "0",
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    {
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    {
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      "nanoAiuPerToken": "450000",
      "usdPerMillionTokensExact": "4.5",
      "tokens": 5550,
      "requests": 11,
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    {
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      "nanoAiuPerToken": "100000",
      "usdPerMillionTokensExact": "1",
      "tokens": 59259577,
      "requests": 732,
      "nanoAiu": "5925957700000"
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    {
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    {
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    {
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      "usdPerMillionTokensExact": "25",
      "tokens": 9464083,
      "requests": 421,
      "nanoAiu": "23660207500000"
    },
    {
      "model": "gpt-6-astra",
      "channel": "input",
      "nanoAiuPerToken": "1000000",
      "usdPerMillionTokensExact": "10",
      "tokens": 2196,
      "requests": 732,
      "nanoAiu": "2196000000"
    },
    {
      "model": "gpt-6-astra",
      "channel": "input",
      "nanoAiuPerToken": "2000000",
      "usdPerMillionTokensExact": "20",
      "tokens": 1335,
      "requests": 421,
      "nanoAiu": "2670000000"
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    {
      "model": "gpt-6-astra",
      "channel": "output",
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      "usdPerMillionTokensExact": "50",
      "tokens": 710739,
      "requests": 732,
      "nanoAiu": "3553695000000"
    },
    {
      "model": "gpt-6-astra",
      "channel": "output",
      "nanoAiuPerToken": "7500000",
      "usdPerMillionTokensExact": "75",
      "tokens": 821942,
      "requests": 421,
      "nanoAiu": "6164565000000"
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  ],
  "days": [
    {
      "date": "2026-09-19",
      "requests": 574,
      "tokens": {
        "input": 36961,
        "cache_read": 141338487,
        "cache_write": 6479361,
        "output": 713261
      },
      "pricedTokens": 148568070,
      "reasoningMetadataTokens": 383736,
      "nanoAiu": "44137620440000",
      "listPriceUsdExact": "441.3762044",
      "modelWorkMs": 19507098
    },
    {
      "date": "2026-09-20",
      "requests": 198,
      "tokens": {
        "input": 594,
        "cache_read": 83736256,
        "cache_write": 4609790,
        "output": 359254
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      "pricedTokens": 88705894,
      "reasoningMetadataTokens": 230605,
      "nanoAiu": "30363294050000",
      "listPriceUsdExact": "303.6329405",
      "modelWorkMs": 10534533
    },
    {
      "date": "2026-09-18",
      "requests": 392,
      "tokens": {
        "input": 1176,
        "cache_read": 60513731,
        "cache_write": 1844188,
        "output": 465716
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      "pricedTokens": 62824811,
      "reasoningMetadataTokens": 196764,
      "nanoAiu": "14382747450000",
      "listPriceUsdExact": "143.8274745",
      "modelWorkMs": 11975326
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  ],
  "dayBoundary": "UTC date of the recorded usage event, not inferred human workdays",
  "privacy": {
    "containsPrompts": false,
    "containsResponses": false,
    "containsTurnLabels": false,
    "containsPaths": false,
    "containsMachineNames": false,
    "containsRawSessionIds": false,
    "containsRawAgentIds": false,
    "containsIndividualRequestRows": false
  },
  "limitations": [
    "This is a one-machine, selected-record snapshot, not proof that all project activity or other machines were logged.",
    "The fixed cutoff excludes this refresh and later work, while earlier audit production is included. The snapshot does not refresh from private telemetry in GitHub Pages.",
    "Model identifiers are reported exactly as recorded, not mapped to unverified public product names.",
    "Requests are ledger events, not human messages; cached input is repeated traffic, not unique authored content.",
    "Reasoning metadata is not added to the priced token-channel total; zero does not establish absence of reasoning.",
    "Summed request duration is model work; union time removes overlaps using usage-calc's completion-timestamp interpretation. Neither measures GPU-hours or human attention.",
    "Inferred human time is engaged sitting-union time minus model-active union time at a declared idle threshold. Tool waits, interruptions and unattended automation can inflate it; reading after the last request and human work concurrent with model activity can be missed.",
    "Idle-threshold sensitivity is not a confidence interval. These single-project sittings cannot establish actual presence, other-project work, or a person's total workday.",
    "Recorded charge units reconcile; their USD interpretation follows the upstream conversion assumption and is not an actual bill.",
    "No energy, water, carbon, human labor, or output value is measured by this audit.",
    "Non-model tool services, CI, storage, network charges, and any hidden upstream routing are not measured.",
    "Raw records remain private. Readers can reconcile the published aggregates, but independent confirmation of the underlying ledger requires authorized local access."
  ]
}
